Principles of Adaptive Filters and Self-learning Systems
Kalman and Wiener Filters, Neural Networks, Genetic Algorithms and Fuzzy Logic Systems Together in One Text Book How can a signal be processed for which there are few or no a priori data? Professor Zaknich provides an ideal textbook for one-semester introductory graduate or senior undergraduate cour...
Κύριος συγγραφέας: | |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Άλλοι συγγραφείς: | , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
London :
Springer London,
2005.
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Σειρά: | Advanced Textbooks in Control and Signal Processing,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Adaptive Filtering
- Linear Systems and Stochastic Processes
- Modelling
- Optimisation and Least Squares Estimation
- Parametric Signal and System Modelling
- Classical Filters and Spectral Analysis
- Optimum Wiener Filter
- Optimum Kalman Filter
- Power Spectral Density Analysis
- Adaptive Filter Theory
- Adaptive Finite Impulse Response Filters
- Frequency Domain Adaptive Filters
- Adaptive Volterra Filters
- Adaptive Control Systems
- Nonclassical Adaptive Systems
- to Neural Networks
- to Fuzzy Logic Systems
- to Genetic Algorithms
- Adaptive Filter Application
- Applications of Adaptive Signal Processing
- Generic Adaptive Filter Structures.